Auto-Encoding Variational Bayes

20 December 2013

Papers citing "Auto-Encoding Variational Bayes"

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Title
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation Xingchao Peng Yichen Li Kate Saenko 24 32 0 17 Jul 2020
Probabilistic Active Meta-Learning Jean Kaddour Steindór Sæmundsson M. Deisenroth 29 34 0 17 Jul 2020
Sequential Segment-based Level Generation and Blending using Variational Autoencoders Anurag Sarkar Seth Cooper 3DV 32 26 0 17 Jul 2020
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval Hung-Yu Tseng Hsin-Ying Lee Lu Jiang Ming-Hsuan Yang Weilong Yang DiffM 3DV 33 52 0 16 Jul 2020
Controllable Image Synthesis via SegVAE Y. Cheng Hsin-Ying Lee Min Sun Ming-Hsuan Yang 29 20 0 16 Jul 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 42 159 0 16 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 33 13 0 16 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 39 213 0 15 Jul 2020
Learning to Learn with Variational Information Bottleneck for Domain Generalization Yingjun Du Jun Xu Huan Xiong Qiang Qiu Xiantong Zhen Cees G. M. Snoek Ling Shao BDL OOD 30 164 0 15 Jul 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 34 25 0 14 Jul 2020
Regularized linear autoencoders recover the principal components, eventually Xuchan Bao James Lucas Sushant Sachdeva Roger C. Grosse 47 29 0 13 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 60 147 0 13 Jul 2020
Deep Cross-Subject Mapping of Neural Activity Marko Angjelichinoski Bijan Pesaran Vahid Tarokh 17 0 0 13 Jul 2020
Vector-Quantized Timbre Representation Adrien Bitton P. Esling Tatsuya Harada 32 12 0 13 Jul 2020
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation Zongsheng Yue Qian Zhao Lei Zhang Deyu Meng DiffM 31 200 0 12 Jul 2020
PA-GAN: Progressive Attention Generative Adversarial Network for Facial Attribute Editing Zhenliang He Meina Kan Jichao Zhang Shiguang Shan CVBM GAN 27 27 0 12 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision Siddharth Biswal Peiye Zhuang A. Pyrros Nasir Siddiqui Oluwasanmi Koyejo Jimeng Sun MedIm 27 5 0 10 Jul 2020
Variational Inference with Continuously-Indexed Normalizing Flows Anthony L. Caterini R. Cornish Dino Sejdinovic Arnaud Doucet BDL 26 19 0 10 Jul 2020
Invertible Zero-Shot Recognition Flows Yuming Shen Jie Qin Lei Huang BDL AI4CE 19 100 0 09 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 33 85 0 09 Jul 2020
Unsupervised Text Generation by Learning from Search Jingjing Li Zichao Li Lili Mou Xin Jiang Michael R. Lyu Irwin King 29 55 0 09 Jul 2020
Point Set Voting for Partial Point Cloud Analysis Junming Zhang Weijia Chen Yuping Wang Ram Vasudevan Matthew Johnson-Roberson 3DPC 30 32 0 09 Jul 2020
Robust pricing and hedging via neural SDEs Patryk Gierjatowicz Marc Sabate Vidales David Siska Lukasz Szpruch Zan Zuric 27 34 0 08 Jul 2020
Operation-Aware Soft Channel Pruning using Differentiable Masks Minsoo Kang Bohyung Han AAML 40 139 0 08 Jul 2020
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning Zexi Chen B. Ramachandra Ranga Raju Vatsavai GAN 38 1 0 08 Jul 2020
Long-term Human Motion Prediction with Scene Context Zhe Cao Hang Gao K. Mangalam Qi-Zhi Cai Minh Vo Jitendra Malik 3DH 37 245 0 07 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 33 53 0 07 Jul 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction Zhong Hao Chengqiang Lu Zheyuan Hu Hongya Wang Zhenya Huang Qi Liu Enhong Chen Cheekong Lee 32 137 0 07 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 13 199 0 06 Jul 2020
Unsupervised Paraphrasing via Deep Reinforcement Learning A.B. Siddique Samet Oymak Vagelis Hristidis 27 56 0 05 Jul 2020
Structure-Aware Human-Action Generation Ping Yu Yang Zhao Chunyuan Li Junsong Yuan Changyou Chen GNN 32 39 0 04 Jul 2020
Continuously Indexed Domain Adaptation Hao Wang Hao He Dina Katabi MedIm 22 117 0 03 Jul 2020
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss Haoyi Wang Victor Sanchez Chang-Tsun Li GAN CVBM 27 12 0 01 Jul 2020
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network Boyun Li Yuanbiao Gou Shuhang Gu Jerry Liu Qiufeng Wang Xi Peng 19 197 0 30 Jun 2020
Learning Sparse Prototypes for Text Generation Junxian He Taylor Berg-Kirkpatrick Graham Neubig 27 23 0 29 Jun 2020
Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems Liwei Wang Yu-Chin Chan Faez Ahmed Zhao Liu Ping Zhu Wei Chen AI4CE 25 213 0 27 Jun 2020
Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process Liwei Wang Siyu Tao Ping Zhu Wei Chen AI4CE 14 59 0 27 Jun 2020
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton 3DH 33 9 0 26 Jun 2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling Chengliang Dai Shuo Wang Yuanhan Mo Kaichen Zhou Elsa D. Angelini Yike Guo Wenjia Bai MedIm 32 33 0 26 Jun 2020
The Gaussian equivalence of generative models for learning with shallow neural networks Sebastian Goldt Bruno Loureiro Galen Reeves Florent Krzakala M. Mézard Lenka Zdeborová BDL 41 100 0 25 Jun 2020
A causal view of compositional zero-shot recognition Yuval Atzmon Felix Kreuk Uri Shalit Gal Chechik OCL BDL CML 61 118 0 25 Jun 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 35 73 0 24 Jun 2020
Control-Aware Representations for Model-based Reinforcement Learning Brandon Cui Yinlam Chow Mohammad Ghavamzadeh BDL 20 13 0 24 Jun 2020
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation Shuo Wang G. Tarroni C. Qin Yuanhan Mo Chengliang Dai Chen Chen Ben Glocker Yike Guo Daniel Rueckert Wenjia Bai MedIm 23 28 0 23 Jun 2020
On Counterfactual Explanations under Predictive Multiplicity Martin Pawelczyk Klaus Broelemann Gjergji Kasneci 25 85 0 23 Jun 2020
not-MIWAE: Deep Generative Modelling with Missing not at Random Data Niels Bruun Ipsen Pierre-Alexandre Mattei J. Frellsen DRL 19 54 0 23 Jun 2020
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment Jing Wang Jiahong Chen Jianzhe Lin Leonid Sigal C. D. Silva 29 52 0 23 Jun 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation Ali Hatamizadeh SSeg 31 3 0 23 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 39 31 0 22 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression Rianne van den Berg A. Gritsenko Mostafa Dehghani C. Sønderby Tim Salimans 32 60 0 22 Jun 2020